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dsh-pseudo-vision

Local OCR, color statistics, and pixel scanning bridge providing multimodal image comprehension for text-only DeepSeek Harness models.

VisionDeveloper Tools
2GitHub Stars0ForksUpdated2026-09-04

Install

$ dsh plugin --profile web add github:DDDFXYqiming/dsh-pseudo-vision

Plugin Overview & Capabilities

AI-assisted organization based on the public repository snapshot. The content must be grounded in source evidence and does not replace compatibility or security verification.

source-grounded
dsh-pseudo-vision is a DeepSeek Harness plugin that provides pseudo-vision capabilities for text-only language models without external vision APIs. It intercepts image attachments on LLM dispatch routes, transforms them locally into budgeted OCR text, color statistics, pixel scans, and metadata via Sharp and Tesseract.js, and injects the resulting context back into the prompt.

Key Capabilities

  • Generates sibling pseudo-vision routes for text-only providers
  • Performs local OCR with CJK and numeric post-processing via Tesseract.js
  • Extracts 9-bucket color statistics, histograms, and brightness using Sharp
  • Performs raw pixel horizontal/vertical focus scanning
  • Extracts image metadata, dimensions, color space, and corner sampling
  • Applies conversation-turn tiered evidence budgeting and character limits

Useful For

  • Enabling image and screenshot comprehension on text-only models
  • Extracting text from UI screenshots, terminal logs, and configuration screens without external multimodal APIs
  • Maintaining offline, zero-data-leakage visual context processing

Who It Fits

  • DeepSeek Harness users relying on text-only LLM endpoints
  • Developers needing local, privacy-preserving visual document parsing
  • Offline or air-gapped DSH environment operators

Documented Limitations

  • Repository is archived on GitHub
  • Requires local compilation dependencies (Sharp and Tesseract.js)
  • OCR and pixel scanning cannot replace full spatial reasoning of native multimodal models
  • Limited by configurable evidence token budgets and maximum image limits

DSH Compatibility

Version-specific runtime evidence collected by DSH Plugin. A missing result means we have not tested that combination yet.

Not tested yetNo runtime compatibility tests have been published yet.

Security Signals

Objective signals discovered from package metadata and source inspection. These are not a guarantee that a plugin is safe.

Dependency Counts

package.json declares 3 runtime, 13 development, 10 peer, and 0 optional dependencies.

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Dsh Bundle Declared

package.json declares DSH bundle metadata.

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License Declared

GitHub reports the repository license as MIT.

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Package Manifest Available

A root package.json was captured and can be inspected by the registry.

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Prepare Script Detected

package.json declares a prepare lifecycle script that may run during relevant package installation workflows.

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Repository Archived

GitHub reports this repository as archived.

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Source Available

Public GitHub source metadata is available for this registry snapshot.

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Source & Registry Notes

Public provenance, Registry classification, and the latest source check for this entry, kept separate from runtime verification.

Source repository
DDDFXYqiming/dsh-pseudo-vision
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin
Source checked
45d0bc7 · 2026-09-12

This project is independently indexed from public source information. DSH Plugin is not affiliated with DeepSeek or the plugin author. Always check the author repository before installation.

Repository Activity

GitHub stars
2GitHub stars
Forks
0
Open issues
0
Last commit
2026-09-04
Last release
No release detected
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